机械与电子Issue(4)：49-51,3.
基于级联粗糙集的数控机床智能诊断方法的研究
Study of the CNC Machine Intelligent Diagnosis Based on Cascade Rough Set
摘要
Abstract
By considering the complexity influencing factors of CNC machinery fault,the application of cascade rough set on the NC machine fault diagnosis is analyzed. Take vibration signal amplitude of tool spindle, feeding spindle and knife library as the condition attributes, the first level rough set is used to determine the fault parts in tool spindle. Then, in the second rough set, the spindle frequency, vibration amplitude, high frequency components of energy and frequency distribution is used as the condition attributes to analysis the fault reason. The methods of cascade rough set can reduce the condition attributes and the decision accuracy is improved.关键词
数控机床/智能故障诊断/级联粗糙集Key words
CNC machine/ intelligent fault diagnosis/ cascade rough set分类
矿业与冶金引用本文复制引用
邓三鹏,蒋永翔,徐小力,吴国新..基于级联粗糙集的数控机床智能诊断方法的研究[J].机械与电子,2011,(4):49-51,3.基金项目
"高档数控机床与基础制造装备"科技重大专项(2009ZX04014-101) （2009ZX04014-101）
天津职业技术师范大学科研基金项目(KJ2008029) （KJ2008029）
